非对称补偿粒子滤波可逆隐藏数据访问算法

Reversible Hidden Data Access Algorithm Based on Non-symmetrical Compensation Particle Filter

针对级联数据库中可逆隐藏数据定位不准,访问恢复困难的问题,提出一种基于非对称补偿粒子滤波的可逆隐藏数据访问算法,实现对数据库中可逆隐藏数据准确访问。算法使用非对称粒子滤波对数据库中可逆隐藏数据的目标位置和访问信道衰减参数进行同时估计,提高可逆隐藏数据定位精度。设计非对称补偿滤波器,抑制数据访问中相干数据干扰,采用迭代方式对隐藏数据访问进程进行更新。最后采用取对数能量求倒谱的方法对数据进行恢复处理,实现对可逆隐藏数据的精准定位访问。仿真实验表明,采用该算法对大型级联数据库进行访问,能准确定位可逆隐藏数据,抗干扰能力强,无损可逆性好,数据库访问识别率和鲁棒性均有明显提高。

In the cascade database, the reversible hidden data is hard to be located and accessed. An improved reversible hidden data access algorithm was proposed based on non symmetrical compensation particle filter for database accessing. The algorithm used asymmetric particle filter for simultaneous estimation of reversible data hiding in the database of the tar-get position and access channel attenuation parameters. The positioning accuracy of reversible data hiding was improved. Asymmetric compensation filter was designed for coherent data interference suppression. The iterative method was used for hiding data access process and data update. Data recovery processing was implemented by computing the logarithmic ener-gy and reversal spectrum. The precise positioning of reversible data access was obtained. Simulation results show that new method can locate the reversible hiding data accurately in access with strong anti-interference ability. The recognition rate and robustness are improved.